• DocumentCode
    2085162
  • Title

    The Design and Application of an Automatic Course Generation System for Large-Scale Education

  • Author

    Tan, Xiaohong ; Ullrich, Carsten ; Wang, Yan ; Shen, Ruimin

  • Author_Institution
    E-learning Lab., Shanghai JiaoTong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    607
  • Lastpage
    609
  • Abstract
    In China, the number of online learners who attend formal education has quadrupled in the last 5 years to 8.2 millions until the end of 2008. How can online teachers build and update web-courses for such a large numbers of online students - courses that ideally respect the different requirements of the students? In this paper we describe an automatic course generation System (ACGS) developed at the Shanghai Jiao Tong University (SJTU). In this ACGS, teachers can build web-based courses according to their own instructional plan and publish the web-based courses without requiring technological support. Teachers can also update the web-courses whenever the instructional objective changes. The web-course learning environment generated from this system takes into account pedagogical scenarios. The ease of use of our system is illustrated by its quickly increasing number of users. About 50 teachers in the SJTU School of Continuing Education (SOCE-SJTU) have developed 45 web-courses in only two months. These 45 web-courses have been provided to about 5800 online learners in the last 2009 autumn semester alone.
  • Keywords
    computer aided instruction; continuing education; educational administrative data processing; educational courses; Shanghai Jiao Tong university; Web-course learning environment; automatic course generation system; continuing education; large-scale education; online learners; Artificial intelligence; Computer science; Conferences; Courseware; Educational institutions; Schedules; Course generation; large scale education; pedagogical scenario;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4244-7144-7
  • Type

    conf

  • DOI
    10.1109/ICALT.2010.172
  • Filename
    5572573